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CVE-2026-21673 (GCVE-0-2026-21673)

Vulnerability from cvelistv5 – Published: 2026-01-06 01:32 – Updated: 2026-01-06 19:00
VLAI
Title
iccDEV has Integer Overflow/Underflow in CIccXmlArrayType::ParseTextCountNum()
Summary
iccDEV provides a set of libraries and tools for working with ICC color management profiles. Versions 2.3.1 and below have overflows and underflows in CIccXmlArrayType::ParseTextCountNum(). This vulnerability affects users of the iccDEV library who process ICC color profiles. This issue is fixed in version 2.3.1.1.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-06 14:23 UTC
CWE
  • CWE-190 - Integer Overflow or Wraparound
  • CWE-681 - Incorrect Conversion between Numeric Types
  • CWE-704 - Incorrect Type Conversion or Cast
Impacted products
Vendor Product Version CPE status
InternationalColorConsortium iccDEV Affected: < 2.3.1.1
guessed Create a notification for this product.
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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